After decades of speculation, real-world artificial intelligence has finally hit a tipping point. Now that we know what AI models like ChatGPT and DALL-E can do, should we be worried?
Category: robotics/AI – Page 1,102
Summary: Tracking hippocampal neurons in mice as they watched a movie revealed novel ways to improve artificial intelligence and track neurological disorders associated with memory and learning deficits.
Source: UCLA
Even the legendary filmmaker Orson Welles couldn’t have imagined such a plot twist.
Not going to happen unless some “doomsdayers” decide to take man back to analog. Perish the thought!
Which brings us to Big Blue – not Big Brother – and its move to take artificial intelligence into the cloud minus all the hardware.
Yes, IBM (and let’s not leave out Red Hat, IBM’s core cloud player) has found another way to tout its cloud computing business by creating what it calls an artificial intelligence-focused supercomputer that exists in the cloud.
We need to double check the answers.
By Ankita Garg: ChatGPT became popular in no time for providing accurate and good answers to any query that people have. Following this, Microsoft also announced its AI-powered Bing tool to catch on the trend and help people offer a better experience using artificial intelligence. However, the ChatGPT-powered Bing tool from Microsoft made quite a lot of mistakes and showed inaccurate results during the company’s public demo last week.
The AI-backed tool by Microsoft quoted the wrong operating margin of Gap during the demo event, according to the details revealed by engineer and writer Dmitri Brereton. The tool reported clothing brands’ operating margin as 5.9 percent; however, Gap’s earning report reveals that the margin was 4.6 percent.
The tool also showed fake answers in terms of net sales growth. It reported that net sales growth in the low double digits, but it is somewhere down to mid-single digits year-over-year in the fourth quarter of fiscal 2022.
QuEra Computing, maker of the world’s first and only publicly accessible neutral-atom quantum computer—Aquila—today announces its research team has uncovered a method to perform a wider set of optimization calculations than previously known to be possible using neutral-atom machines.
The findings are the work of QuEra researchers and collaborators from Harvard and Innsbruck Universities: Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang, and Hannes Pichler.
“There is no question that today’s news helps QuEra deliver value to more partners, sooner. It helps bring us closer to our objectives, and marks an important milestone for the industry as well,” said Alex Keesling, CEO at QuEra Computing. “This opens the door to working with more corporate partners who may have needs in logistics, from transport and retail to robotics and other high-tech sectors, and we are very excited about cultivating those opportunities.”
Google Bard is Google’s latest chatbot development designed to compete with the likes of ChatGPT. Here’s everything you need to know about how to use it.
An artificial intelligence program may enable the first simple production of customizable proteins called zinc fingers to treat diseases by turning genes on and off.
The researchers at NYU Grossman School of Medicine and the University of Toronto who designed the tool say it promises to accelerate the development of gene therapies on a large scale.
Illnesses including cystic fibrosis, Tay-Sachs disease, and sickle cell anemia are caused by errors in the order of DNA letters that encode the operating instructions for every human cell. Scientists can in some cases correct these mistakes with gene editing methods that rearrange these letters.
AI may not have any motives against humans, “but a machine that thinks that humans are the root cause of certain problems may think of it that way.”
Mark Cuban predicted the tech sector’s next big battle will be against AI tools like ChatGPT when they “start taking on a life of their own,” on Jon Stewart’s podcast.